Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.
Describes computational thinking techniques that will enable you to think about problems in ways that are amenable to high-performance parallel computing
Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments
Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL
|Produto sob encomenda||Sim|
|Número de Páginas||280|
|Autor||Kirk,David; Hwu,Wen-mei W.|